Note: the module "R" cannot be unloaded because it was not loaded. WARNING: ignoring environment value of R_HOME R Under development (unstable) (2025-05-13 r88200) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cargs <- commandArgs(trailingOnly=TRUE) > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "349", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2025-05-15/deps.csv", task.str = "561", release = "/scratch/th798/data.table-revdeps/2025-05-15/data.table_release_1.17.2.tar.gz", master = "/scratch/th798/data.table-revdeps/2025-05-15/data.table_master_1.17.99.15932214095653a70048efdc41545968b38a100a.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/17245321/R-devel/561" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache [1] "/tmp/th798/17245321/R-devel/561/R.cache" > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (rev.dep <- deps.df$Package[task.id]) [1] "gpboost" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/17245321/R-devel/561/library" [2] "/projects/genomic-ml/R/R-devel/library" > options(repos=c(#this should be in ~/.Rprofile too. + CRAN="http://cloud.r-project.org")) > print(Sys.time()) [1] "2025-05-15 00:55:12 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/17245321/R-devel/561/library' (as 'lib' is unspecified) trying URL 'http://cloud.r-project.org/src/contrib/gpboost_1.5.8.tar.gz' Content type 'application/x-gzip' length 2238199 bytes (2.1 MB) ================================================== downloaded 2.1 MB * installing *source* package 'gpboost' ... ** this is package 'gpboost' version '1.5.8' ** package 'gpboost' successfully unpacked and MD5 sums checked ** using staged installation checking location of R... /home/th798/R/R-devel checking whether MM_PREFETCH works... yes checking whether MM_MALLOC works... yes configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/boosting.cpp -o boosting/boosting.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/dart.hpp:16, from boosting/boosting.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt.cpp -o boosting/gbdt.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/gbdt.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt_model_text.cpp -o boosting/gbdt_model_text.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from boosting/gbdt_model_text.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt_prediction.cpp -o boosting/gbdt_prediction.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt_prediction.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/prediction_early_stop.cpp -o boosting/prediction_early_stop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/bin.cpp -o io/bin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/config.cpp -o io/config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/config_auto.cpp -o io/config_auto.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/dataset.cpp -o io/dataset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/dataset_loader.cpp -o io/dataset_loader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/file_io.cpp -o io/file_io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/json11.cpp -o io/json11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/metadata.cpp -o io/metadata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/parser.cpp -o io/parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/train_share_states.cpp -o io/train_share_states.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/tree.cpp -o io/tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c metric/dcg_calculator.cpp -o metric/dcg_calculator.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/dcg_calculator.cpp:5: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c metric/metric.cpp -o metric/metric.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/metric.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c objective/objective_function.cpp -o objective/objective_function.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from objective/objective_function.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/ifaddrs_patch.cpp -o network/ifaddrs_patch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linker_topo.cpp -o network/linker_topo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linkers_mpi.cpp -o network/linkers_mpi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linkers_socket.cpp -o network/linkers_socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/network.cpp -o network/network.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/data_parallel_tree_learner.cpp -o treelearner/data_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/feature_parallel_tree_learner.cpp -o treelearner/feature_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/gpu_tree_learner.cpp -o treelearner/gpu_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/linear_tree_learner.cpp -o treelearner/linear_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/Dense:1, from treelearner/linear_tree_learner.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' treelearner/linear_tree_learner.cpp:349:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Inverse > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Inverse > > >' treelearner/linear_tree_learner.cpp:349:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>' treelearner/linear_tree_learner.cpp:349:63: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/LU/FullPivLU.h:493:28: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/LU/FullPivLU.h:493:44: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:517:47: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >' ./include/Eigen/src/LU/FullPivLU.h:518:35: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:545:15: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:549:15: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:103: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/LU/FullPivLU.h:559:85: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:519:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Inverse > >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/LU/FullPivLU.h:545:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/LU/FullPivLU.h:549:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/LU/FullPivLU.h:853:60: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/Eigen/src/LU/FullPivLU.h:853:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Inverse > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Inverse > >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:768:69: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' ./include/Eigen/src/LU/FullPivLU.h:767:22: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>' ./include/Eigen/src/LU/FullPivLU.h:774:59: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/LU/FullPivLU.h:785:55: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 5]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]' ./include/Eigen/src/LU/FullPivLU.h:772:20: required from 'void Eigen::FullPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/Core/Solve.h:147:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/serial_tree_learner.cpp -o treelearner/serial_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from treelearner/serial_tree_learner.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/tree_learner.cpp -o treelearner/tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/voting_parallel_tree_learner.cpp -o treelearner/voting_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c c_api.cpp -o c_api.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from c_api.cpp:12: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gpboost_R.cpp -o gpboost_R.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c re_model.cpp -o re_model.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from re_model.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' re_model.cpp:289:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/re_model_template.h:776:17: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2386:58: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/re_model_template.h:2476:127: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/re_model_template.h:2437:79: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/re_model_template.h:2437:87: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:2437:93: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:2935:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/re_model_template.h:3026:74: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:3057:45: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3240:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/re_model_template.h:3292:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' ./include/GPBoost/re_model_template.h:3325:63: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:3240:20: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3240:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:3240:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:3696:54: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3730:115: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:3731:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:3732:74: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:3734:48: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:3752:42: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3772:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:3772:40: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/re_model_template.h:3780:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:3924:30: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3980:62: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4004:77: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4007:63: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:3772:61: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3772:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:3772:40: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' ./include/GPBoost/re_model_template.h:3780:80: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >' ./include/GPBoost/re_model_template.h:3780:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3787:33: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/re_model_template.h:3846:61: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4004:77: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4007:42: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4007:63: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3772:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:3772:40: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/re_model_template.h:3780:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:3787:33: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4004:77: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:4007:42: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4007:63: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:4195:100: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4213:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4213:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1122:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:4213:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1125:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8237:97: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/re_model_template.h:8243:54: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/re_model_template.h:8246:112: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:8248:100: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:8309:106: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:8346:40: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2261:26: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:2273:65: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:599:108: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:678:105: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1516:53: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1558:54: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:1669:84: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:9206:32: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1155:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:9231:46: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1155:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:9233:34: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1155:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:6968:61: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:7235:50: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1175:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:7252:139: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1175:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:7255:75: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1175:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, 0> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >' ./include/GPBoost/re_model_template.h:9109:59: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/re_model_template.h:8253:60: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1545:116: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1545:129: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1545:116: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1545:129: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/GPBoost/re_model_template.h:7914:140: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:7920:39: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/re_model_template.h:7941:62: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseTriangularView.h:78:54: required from 'struct Eigen::internal::unary_evaluator, 1>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:2356:32: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1308:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2389:90: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:715:12: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/GPBoost/CG_utils.h:728:31: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/GPBoost/CG_utils.h:748:53: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >' ./include/GPBoost/CG_utils.h:783:10: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1308:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2389:90: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:699:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1308:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2389:90: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:3025:26: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseView.h:45:7: required from 'class Eigen::SparseView >' ./include/GPBoost/utils.h:294:22: required from 'void GPBoost::ConvertTo_T_mat_FromDense(den_mat_t, T_mat1&) [with T_mat1 = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3058:41: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6276:22: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 5>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 5>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 5>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 5>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 5>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6280:17: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:6286:75: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2>' ./include/GPBoost/likelihoods.h:6344:56: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >' ./include/GPBoost/likelihoods.h:6464:68: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6467:67: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6470:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:6473:36: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6476:51: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6486:78: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/likelihoods.h:6500:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6501:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6596:86: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:27: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:6644:92: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6645:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:6649:72: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6665:30: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:6677:50: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6773:22: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3503:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6849:82: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3503:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:6946:28: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3503:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:9977:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9977:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:9977:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:9985:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Matrix > >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:10070:97: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10104:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:10104:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >' ./include/GPBoost/re_model_template.h:10188:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:10217:127: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:10217:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:10223:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:10243:100: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:10247:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/re_model_template.h:10305:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10354:74: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:10380:30: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >' ./include/GPBoost/re_model_template.h:9577:75: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:9616:99: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:9661:107: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from 'Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]' ./include/GPBoost/re_model_template.h:3199:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:9977:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9977:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:9977:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10104:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:10104:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:10188:103: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >' ./include/GPBoost/re_model_template.h:10188:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10211:86: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:10217:127: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:10217:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:10247:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/re_model_template.h:10305:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:9570:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6689:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6689:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6689:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6689:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:9977:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9977:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:9977:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10104:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:10104:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10188:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:10247:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:10305:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9570:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:9571:45: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3699:131: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3699:131: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3737:67: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3780:88: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3793:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, 1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3780:88: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3780:88: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, true> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3793:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, false> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3846:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7108:62: required from 'void GPBoost::Likelihood::CalcVarLaplaceApproxOnlyOneGPCalculationsOnREScale(std::shared_ptr<_Tp>, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3949:83: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:607:75: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3780:88: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3793:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3846:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:4195:20: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:4195:20: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' ./include/GPBoost/re_comp.h:852:22: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:6510:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:310:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6099:51: required from 'void GPBoost::REModelTemplate::InitializeMatricesForOnlyGroupedREsUseWoodburyIdentity() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:351:5: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:582:12: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:582:63: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:582:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/GPBoost/CG_utils.h:593:31: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:606:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:889:45: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>' ./include/GPBoost/re_model_template.h:8372:57: required from 'void GPBoost::REModelTemplate::CalcYtilde(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2239:6: required from 'void GPBoost::REModelTemplate::CalcCovFactorOrModeAndNegLL(const GPBoost::vec_t&, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1009:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:107:103: required from 'double GPBoost::EvalLLforOptimLib(const vec_t&, vec_t*, void*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:629:13: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' ./include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/Ref.h:341:77: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1512:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/re_model_template.h:1751:53: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1800:80: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1802:124: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1826:49: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1825:130: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/GPBoost/re_model_template.h:1842:160: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1855:107: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1866:116: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/re_model_template.h:1980:105: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/re_model_template.h:1984:114: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:2002:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/re_model_template.h:2006:74: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/re_model_template.h:2025:59: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/re_model_template.h:2033:38: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:5517:40: required from 'void GPBoost::REModelTemplate::CalcPsiInv(T_mat&, GPBoost::data_size_t, bool) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::SingleRange>' ./include/GPBoost/re_model_template.h:5428:11: required from 'void GPBoost::REModelTemplate::GetYAux(GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1557:13: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:5263:47: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:5268:82: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5458:82: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5461:30: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5463:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5485:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5490:195: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5494:110: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5565:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/GPBoost/likelihoods.h:5646:104: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:5663:70: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5697:60: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:5701:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:5703:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:5730:88: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, -1, -1>' ./include/GPBoost/likelihoods.h:4375:60: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4383:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:4386:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4393:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4414:188: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:115: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4466:179: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4485:122: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4557:28: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/GPBoost/likelihoods.h:4586:38: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4634:77: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4640:105: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:4645:78: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4649:97: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:46: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:129: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' ./include/GPBoost/likelihoods.h:4784:54: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' ./include/GPBoost/likelihoods.h:4793:54: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/likelihoods.h:4802:111: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/GPBoost/likelihoods.h:4806:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4818:120: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4817:64: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4895:95: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:4899:104: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4951:37: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4995:117: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:4997:29: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5000:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>' ./include/GPBoost/likelihoods.h:5002:68: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1>' ./include/GPBoost/likelihoods.h:5003:87: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:111: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/GPBoost/likelihoods.h:5030:94: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/likelihoods.h:3980:90: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3987:90: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:4030:123: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4052:64: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Block, -1, 1, true>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/GPBoost/likelihoods.h:4074:37: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:40: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:4125:118: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3726:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3755:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3766:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/GPBoost/re_model_template.h:4255:168: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7712:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1092:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/GPBoost/re_model_template.h:4259:97: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7712:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1092:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:4262:33: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7712:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1092:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1105:37: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:8609:107: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:8610:136: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:72: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:8682:91: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/re_model_template.h:8781:80: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8927:74: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8516:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/re_model_template.h:9042:73: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8516:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/re_model_template.h:9047:73: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8516:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1194:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1195:100: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1230:92: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5590:40: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/re_model_template.h:5641:59: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/re_model_template.h:5644:117: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:5646:91: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:582:12: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:582:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:606:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1826:49: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1825:130: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:5509:25: required from 'void GPBoost::REModelTemplate::CalcPsiInv(T_mat&, GPBoost::data_size_t, bool) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:3726:86: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3726:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3755:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3755:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3766:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:582:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:606:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1825:130: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5558:39: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:3726:86: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3726:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3755:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3766:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:8936:43: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8516:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8172:109: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:7941:48: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:7941:48: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:7941:48: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/GPBoost/likelihoods.h:3275:35: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3311:41: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3314:61: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:3357:85: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0> >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0> >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0> >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2798:53: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2851:54: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2860:49: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/GPBoost/likelihoods.h:2862:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:2883:47: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:2985:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>' ./include/GPBoost/likelihoods.h:3064:61: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:3077:69: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3088:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3550:41: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7847:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:3595:52: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7847:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:3636:93: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7847:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2453:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7853:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:2457:67: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7853:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2678:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:7857:93: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2330:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2339:20: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:5446:63: required from 'void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:7921:18: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:699:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2330:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:703:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2339:20: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:703:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2330:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:713:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2339:20: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:713:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/cov_fcts.h:528:17: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1229:53: required from 'void GPBoost::RECompGP::CalcSigma() [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3062:48: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/likelihoods.h:6946:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3503:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:10305:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:7037:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10454:53: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:5968:69: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9832:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:6027:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9832:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6067:118: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9832:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6096:111: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9832:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:500:38: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:9401:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9811:66: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6187:76: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:5838:37: required from 'void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9846:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6187:76: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/likelihoods.h:5838:37: required from 'void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9846:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:3786:71: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:3786:71: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >' ./include/GPBoost/cov_fcts.h:988:38: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1216:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4098:81: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1138:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_comp.h:1648:56: required from 'bool GPBoost::RECompGP::HasDuplicatedCoords() const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6513:34: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:310:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' ./include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ./include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ./include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:214:42: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1107:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4321:32: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1006:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:28: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1107:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4321:32: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1006:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:216:70: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1107:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4321:32: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1006:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:230:43: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1107:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4321:32: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1006:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' ./include/LBFGSpp/BFGSMat.h:173:41: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:148:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' ./include/LBFGSpp/BFGSMat.h:119:56: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' ./include/LBFGSpp/BFGSMat.h:119:59: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/Ref.h:341:77: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1522:95: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1523:54: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1359:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1765:103: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1359:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1765:103: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_comp.h:1359:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:1812:98: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1359:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:1812:98: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:7829:33: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/GPBoost/likelihoods.h:7859:49: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:7897:104: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:7912:114: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7924:115: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7931:83: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:5269:26: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 1>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:7982:124: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:7987:106: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:8047:84: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:89: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:8116:103: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5361:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:8135:90: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5361:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:5432:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>' ./include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4898:170: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7010:42: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1086:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6952:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6976:78: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/sparse_matrix_utils.h:416:29: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:1740:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_comp.h:1359:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:1812:98: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1359:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:1812:98: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1965:86: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/GPBoost/CG_utils.h:793:34: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/GPBoost/likelihoods.h:7684:72: required from 'void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3478:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:7725:77: required from 'void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3478:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/likelihoods.h:7748:63: required from 'void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3478:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:7766:66: required from 'void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3478:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2330:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2330:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:703:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:371:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6637:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6637:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6638:83: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6638:83: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6639:49: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6639:49: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6708:142: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6708:142: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9941:64: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:10185:74: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:10185:74: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10231:70: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10232:39: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10253:89: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7060:53: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10454:53: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/re_comp.h:503:17: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:9401:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/re_comp.h:503:17: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:9401:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Visitor.h:302:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:889:45: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:892:75: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:1740:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:1740:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1772:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1773:66: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1804:113: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1805:157: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1807:73: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1899:94: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1900:91: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4000:81: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1194:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:1740:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1884:94: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2362:70: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:509:39: required from 'void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7827:40: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:519:52: required from 'void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7827:40: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3206:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3342:96: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' ./include/Eigen/src/Cholesky/LLT.h:339:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:339:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' ./include/Eigen/src/Cholesky/LLT.h:339:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/GP_utils.h:435:35: required from 'void GPBoost::SubtractProdFromNonSqMat(T_mat&, const den_mat_t&, const den_mat_t&) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9927:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ./include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/LBFGSpp/BFGSMat.h:172:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:148:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/LBFGSpp/BKLDLT.h:333:83: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/LBFGSpp/BKLDLT.h:362:33: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/LBFGSpp/BKLDLT.h:362:39: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/LBFGSpp/BKLDLT.h:368:92: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/LBFGSpp/BKLDLT.h:368:103: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1512:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1512:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1540:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1540:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6952:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1546:59: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' ./include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 1; bool Transposed = false]' ./include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; int ProductTag = 8; MatrixShape = Eigen::SparseShape]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:5446:23: required from 'void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:7921:18: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:699:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:335:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6708:93: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3846:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:1691:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:157:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:841:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:6510:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:310:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2030:105: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4496:127: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4602:115: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4219:68: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1635:106: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1105:37: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1194:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1195:100: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1230:92: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3342:96: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:991:130: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1216:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4098:81: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1138:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::InnerStride<1> >' ./include/Eigen/src/Core/CoreEvaluators.h:884:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' ./include/LBFGSpp/BFGSMat.h:93:32: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1522:95: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:8133:114: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5361:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7010:42: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1086:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6952:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6976:78: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1965:86: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7644:57: required from 'void GPBoost::Likelihood::CalcLogDetStochFSVA(const GPBoost::data_size_t&, const int&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const std::vector > > >&, const GPBoost::vec_t&, const GPBoost::chol_den_mat_t&, const GPBoost::vec_t&, bool&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3102:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:335:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 1>, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 1>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6644:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6644:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10232:39: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/Eigen/src/SparseCore/SparseAssign.h:200:35: required from 'static typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type Eigen::internal::assignment_from_dense_op_sparse::run(DstXprType&, const Eigen::CwiseBinaryOp, const Lhs, const Rhs>&, const Eigen::internal::assign_op&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 2>; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double; DstXprType = Eigen::Matrix; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type = void; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:4213:27: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1125:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:1691:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:157:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:841:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:6510:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:310:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1772:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1773:66: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1805:157: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1807:73: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1899:94: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1900:91: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/likelihoods.h:5458:76: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4906:135: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:188:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:194:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4000:81: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:8631:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1884:94: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:754:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3206:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/GP_utils.h:435:35: required from 'void GPBoost::SubtractProdFromNonSqMat(T_mat&, const den_mat_t&, const den_mat_t&) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9927:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:997:17: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1216:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4098:81: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1138:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8258:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/LBFGSpp/BFGSMat.h:172:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:148:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' ./include/LBFGSpp/BKLDLT.h:362:28: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1512:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1540:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:340:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:340:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6498:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9645:14: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5697:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5701:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::SparseMatrix; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Matrix]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3787:17: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8258:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8261:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7843:12: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5675:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4906:135: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:8631:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:754:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2935:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6498:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10344:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9645:14: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9645:14: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2273:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1> >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5697:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5698:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5701:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4405:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::assign_op, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4405:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3755:21: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3240:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:10247:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:3827:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4007:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8258:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from 'static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7843:12: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4906:135: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:8631:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:754:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/GPBoost/CG_utils.h:793:34: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/CG_utils.h:718:14: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2935:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Transpose >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6286:15: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6498:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2273:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7993:141: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:774:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5675:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5697:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5698:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5699:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5701:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:1669:65: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3755:21: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6644:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:188:46: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:194:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3240:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:10247:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:3827:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4007:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4007:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8258:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1765:103: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7843:12: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, true> >; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/CG_utils.h:741:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2935:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10344:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2273:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5698:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5701:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4125:12: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3755:21: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:10247:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9645:14: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:3827:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4007:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Transpose >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7843:12: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4898:170: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:582:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Transpose >, 1> >; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5698:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5699:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:1669:65: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3240:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:593:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:582:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:593:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:593:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' ./include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' ./include/Eigen/src/LU/InverseImpl.h:311:60: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/LU/PartialPivLU.h:528:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': ./include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/Ref.h:300:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' ./include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' ./include/Eigen/src/LU/PartialPivLU.h:514:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' ./include/Eigen/src/LU/PartialPivLU.h:538:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/Eigen/src/LU/PartialPivLU.h:582:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' ./include/Eigen/src/Core/Visitor.h:302:14: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' ./include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' ./include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 42 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse_matrix_utils.cpp -o sparse_matrix_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/sparse_matrix_utils.h:12, from sparse_matrix_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' ./include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' ./include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' sparse_matrix_utils.cpp:306:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > > >' ./include/Eigen/src/SparseCore/SparseMap.h:282:8: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map >; _Scalar = double; int _Options = 0; _StorageIndex = int]' sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' sparse_matrix_utils.cpp:289:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GP_utils.cpp -o GP_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/GP_utils.h:12, from GP_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' GP_utils.cpp:73:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' GP_utils.cpp:76:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:93:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' GP_utils.cpp:159:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' GP_utils.cpp:159:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:172:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:172:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' GP_utils.cpp:232:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:232:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:232:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' GP_utils.cpp:236:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:282:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:27:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' GP_utils.cpp:73:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' GP_utils.cpp:73:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from 'Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]' GP_utils.cpp:68:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' GP_utils.cpp:89:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, 1, -1, false>]' GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:319:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:93:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:159:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/AssignEvaluator.h:873:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' GP_utils.cpp:229:18: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:236:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:282:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:296:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' GP_utils.cpp:108:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:240:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:76:21: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:232:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:172:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:232:78: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:172:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DF_utils.cpp -o DF_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Vecchia_utils.cpp -o Vecchia_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/Vecchia_utils.h:12, from Vecchia_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' Vecchia_utils.cpp:38:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' Vecchia_utils.cpp:44:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' Vecchia_utils.cpp:322:18: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' Vecchia_utils.cpp:325:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' Vecchia_utils.cpp:325:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' Vecchia_utils.cpp:422:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' Vecchia_utils.cpp:452:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' Vecchia_utils.cpp:453:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/TriangularMatrix.h:175:44: required from 'struct Eigen::internal::traits >, 9> >' ./include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase >, 9> >' ./include/Eigen/src/Core/TriangularMatrix.h:27:34: required from 'class Eigen::TriangularBase >, 9> >' ./include/Eigen/src/Core/TriangularMatrix.h:345:58: required from 'class Eigen::TriangularViewImpl >, 9, Eigen::Dense>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 9>' Vecchia_utils.cpp:589:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' Vecchia_utils.cpp:930:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' Vecchia_utils.cpp:940:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' Vecchia_utils.cpp:1044:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' Vecchia_utils.cpp:1044:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:1161:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:1161:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1191:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1191:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1196:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' Vecchia_utils.cpp:1245:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' Vecchia_utils.cpp:1253:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1258:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' Vecchia_utils.cpp:1278:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' Vecchia_utils.cpp:1278:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:1327:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:1327:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' Vecchia_utils.cpp:1339:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Matrix > >' Vecchia_utils.cpp:1339:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1348:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Transpose > > >' Vecchia_utils.cpp:1348:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1>, Eigen::Transpose > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >' Vecchia_utils.cpp:1348:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1369:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1369:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1370:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' Vecchia_utils.cpp:1486:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::internal::AllRange<-1>, std::vector, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >' Vecchia_utils.cpp:1615:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' Vecchia_utils.cpp:1627:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' Vecchia_utils.cpp:1643:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' Vecchia_utils.cpp:1643:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' Vecchia_utils.cpp:1668:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1673:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:1673:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' Vecchia_utils.cpp:1673:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' Vecchia_utils.cpp:1673:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' Vecchia_utils.cpp:1674:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1674:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' Vecchia_utils.cpp:1674:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>' Vecchia_utils.cpp:1674:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' Vecchia_utils.cpp:1683:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' Vecchia_utils.cpp:1683:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' Vecchia_utils.cpp:1708:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' Vecchia_utils.cpp:1710:58: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' Vecchia_utils.cpp:1716:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' Vecchia_utils.cpp:1734:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' Vecchia_utils.cpp:1740:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' Vecchia_utils.cpp:1740:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' Vecchia_utils.cpp:1740:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' Vecchia_utils.cpp:1740:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' Vecchia_utils.cpp:1741:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' Vecchia_utils.cpp:1748:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' Vecchia_utils.cpp:1748:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' Vecchia_utils.cpp:1976:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:1976:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >' Vecchia_utils.cpp:1976:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1979:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' Vecchia_utils.cpp:1979:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>' Vecchia_utils.cpp:1979:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' Vecchia_utils.cpp:1980:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' Vecchia_utils.cpp:1980:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:1986:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' Vecchia_utils.cpp:1992:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' Vecchia_utils.cpp:2136:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' Vecchia_utils.cpp:2141:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' Vecchia_utils.cpp:2149:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2149:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' Vecchia_utils.cpp:2149:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2150:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 2>' Vecchia_utils.cpp:2152:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product >, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 2>, 2>' Vecchia_utils.cpp:2152:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> >' Vecchia_utils.cpp:2156:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' Vecchia_utils.cpp:2182:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' Vecchia_utils.cpp:2184:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:2185:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>' Vecchia_utils.cpp:2185:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>' Vecchia_utils.cpp:2185:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>' Vecchia_utils.cpp:2185:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:859:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1159:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:1359:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:1359:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1359:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:1359:86: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1359:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_comp.h:1362:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1379:33: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1379:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]' Vecchia_utils.cpp:1327:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]' Vecchia_utils.cpp:1327:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1547:47: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1553:39: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' Vecchia_utils.cpp:1668:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1707:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:88:32: required from 'struct Eigen::internal::sparse_diagonal_product_evaluator, Eigen::Transpose >, 0>' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1708:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1708:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1708:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1716:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1992:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1992:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:33:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/GPBoost/re_comp.h:1426:18: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:47:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:325:73: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:675:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:214:42: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1116:35: required from 'void GPBoost::RECompGP::GetScaledCoordinates(GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1080:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:216:70: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1116:35: required from 'void GPBoost::RECompGP::GetScaledCoordinates(GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1080:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:230:43: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1116:35: required from 'void GPBoost::RECompGP::GetScaledCoordinates(GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1080:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1238:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1252:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1253:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1256:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1257:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1369:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from 'Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]' Vecchia_utils.cpp:1580:14: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1643:64: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1740:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1740:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1741:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1741:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1742:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1742:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' Vecchia_utils.cpp:2148:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' Vecchia_utils.cpp:2148:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2169:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1157:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:44:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:325:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:998:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1643:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1740:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:1931:125: required from 'double GPBoost::CovFunction::GradientRangeMaternSpaceTimeShape0_5(double, double, const T_mat&, int, int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1691:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:157:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:841:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:951:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]' Vecchia_utils.cpp:1278:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:371:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]' Vecchia_utils.cpp:1627:116: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from 'void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:678:15: required from 'void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:215:7: required from 'void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:381:36: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' Vecchia_utils.cpp:1978:19: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:33:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:452:20: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:452:20: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1238:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1252:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1253:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1256:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1257:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1369:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, true>]' Vecchia_utils.cpp:1486:73: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2169:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:185:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:1931:125: required from 'double GPBoost::CovFunction::GradientRangeMaternSpaceTimeShape0_5(double, double, const T_mat&, int, int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1691:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:157:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:841:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:951:126: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1707:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1707:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:104:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>]' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:135:7: required from 'Eigen::internal::binary_evaluator, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/Core/CoreEvaluators.h:728:52: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1976:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1678:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2165:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Func = generic_product_impl, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' ./include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1044:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::AllRange<-1>, std::vector >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]' ./include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:104:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>]' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:135:7: required from 'Eigen::internal::binary_evaluator, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/Core/CoreEvaluators.h:728:52: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1976:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, Eigen::internal::AllRange<-1>, std::vector > >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1678:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Transpose >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Transpose > >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Transpose > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1692:121: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1547:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1678:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1553:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1553:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1553:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1348:89: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >' ./include/GPBoost/cov_fcts.h:988:38: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1216:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1209:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c CG_utils.cpp -o CG_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/CG_utils.h:12, from CG_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' CG_utils.cpp:36:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' CG_utils.cpp:57:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:57:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' CG_utils.cpp:57:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:57:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' CG_utils.cpp:57:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' CG_utils.cpp:62:29: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' CG_utils.cpp:62:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' CG_utils.cpp:62:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' CG_utils.cpp:63:64: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' CG_utils.cpp:63:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' CG_utils.cpp:67:84: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' CG_utils.cpp:67:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' CG_utils.cpp:117:16: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' CG_utils.cpp:155:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:170:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' CG_utils.cpp:170:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' CG_utils.cpp:175:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' CG_utils.cpp:178:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' CG_utils.cpp:266:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:267:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' CG_utils.cpp:267:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >' CG_utils.cpp:267:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' CG_utils.cpp:267:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' CG_utils.cpp:271:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' CG_utils.cpp:271:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >' CG_utils.cpp:284:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:368:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' CG_utils.cpp:368:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>' CG_utils.cpp:368:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' CG_utils.cpp:368:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' CG_utils.cpp:368:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>' CG_utils.cpp:373:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>' CG_utils.cpp:373:262: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' CG_utils.cpp:373:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>' CG_utils.cpp:373:264: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>' CG_utils.cpp:373:265: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' CG_utils.cpp:374:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >' CG_utils.cpp:374:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' CG_utils.cpp:374:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' CG_utils.cpp:474:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' CG_utils.cpp:474:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:478:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' CG_utils.cpp:478:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' CG_utils.cpp:478:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:494:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' CG_utils.cpp:494:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:498:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:498:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >' CG_utils.cpp:498:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >' CG_utils.cpp:542:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' CG_utils.cpp:605:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:609:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' CG_utils.cpp:611:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' CG_utils.cpp:611:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:614:210: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' CG_utils.cpp:614:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' CG_utils.cpp:616:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:619:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:635:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' CG_utils.cpp:639:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' CG_utils.cpp:639:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' CG_utils.cpp:639:193: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>' CG_utils.cpp:639:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' CG_utils.cpp:639:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:858:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:866:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' CG_utils.cpp:883:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' CG_utils.cpp:992:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, -1, -1>' CG_utils.cpp:1013:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Replicate, -1, -1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >' CG_utils.cpp:1013:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' CG_utils.cpp:1108:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' CG_utils.cpp:1108:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from 'class Eigen::SelfAdjointEigenSolver >' CG_utils.cpp:1239:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from 'class Eigen::SelfAdjointEigenSolver >' CG_utils.cpp:1239:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' CG_utils.cpp:1246:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> > >' CG_utils.cpp:1246:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' CG_utils.cpp:1246:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' CG_utils.cpp:1246:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' CG_utils.cpp:1246:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >' CG_utils.cpp:1246:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' CG_utils.cpp:1258:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' CG_utils.cpp:1258:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >' CG_utils.cpp:1270:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >' CG_utils.cpp:1270:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' CG_utils.cpp:1272:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' CG_utils.cpp:1272:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' CG_utils.cpp:1274:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' CG_utils.cpp:1274:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' CG_utils.cpp:1307:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' CG_utils.cpp:1388:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' CG_utils.cpp:1806:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:80:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from 'Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]' CG_utils.cpp:1291:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1307:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1307:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseTriangularView.h:78:54: required from 'struct Eigen::internal::unary_evaluator, 1>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Options = 1; _StorageIndex = int]' CG_utils.cpp:1799:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, 1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1806:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1806:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' CG_utils.cpp:45:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:87:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' CG_utils.cpp:462:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' CG_utils.cpp:553:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:543:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:869:57: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:44:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:80:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:80:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' ./include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from 'Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:467:24: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' ./include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/Visitor.h:255:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:543:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1247:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1260:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ./include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' ./include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1258:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:87:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/ProductEvaluators.h:834:73: required from 'struct Eigen::internal::diagonal_product_evaluator_base, -1, 1, true>, const Eigen::Matrix, Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:902:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::Block, -1, 1, true>, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:474:60: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:508:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 1, -1, false> > > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1246:145: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:80:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:508:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1272:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1272:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1272:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:508:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' CG_utils.cpp:553:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1272:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:178:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, 1, true>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Block, -1, 1, true>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:178:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:178:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Product >, Eigen::Matrix, 0>; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_spsolve.c -o cs_spsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_reach.c -o cs_reach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dfs.c -o cs_dfs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gpboost.so boosting/boosting.o boosting/gbdt.o boosting/gbdt_model_text.o boosting/gbdt_prediction.o boosting/prediction_early_stop.o io/bin.o io/config.o io/config_auto.o io/dataset.o io/dataset_loader.o io/file_io.o io/json11.o io/metadata.o io/parser.o io/train_share_states.o io/tree.o metric/dcg_calculator.o metric/metric.o objective/objective_function.o network/ifaddrs_patch.o network/linker_topo.o network/linkers_mpi.o network/linkers_socket.o network/network.o treelearner/data_parallel_tree_learner.o treelearner/feature_parallel_tree_learner.o treelearner/gpu_tree_learner.o treelearner/linear_tree_learner.o treelearner/serial_tree_learner.o treelearner/tree_learner.o treelearner/voting_parallel_tree_learner.o c_api.o gpboost_R.o re_model.o sparse_matrix_utils.o GP_utils.o DF_utils.o Vecchia_utils.o CG_utils.o cs_spsolve.o cs_reach.o cs_dfs.o -fopenmp -pthread installing to /tmp/th798/17245321/R-devel/561/library/00LOCK-gpboost/00new/gpboost/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gpboost) The downloaded source packages are in '/tmp/th798/17245321/RtmpjHIyjp/downloaded_packages' > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 549.116 17.829 573.537 > print(Sys.time()) [1] "2025-05-15 01:04:46 MST" > downloaded_packages <- file.path( + tempdir(), + "downloaded_packages") > dl.glob <- file.path( + downloaded_packages, + paste0(rev.dep,"_*.tar.gz")) > rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob)) > colnames(rev.dep.dl.row) <- c("pkg","path") > rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE) > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2025-05-15 01:04:46 MST" Installing package into '/tmp/th798/17245321/R-devel/561/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.2' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/17245321/R-devel/561/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-05-15 01:05:05 MST" * using log directory '/tmp/th798/17245321/R-devel/561/gpboost.Rcheck' * using R Under development (unstable) (2025-05-13 r88200) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.5.8' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'gpboost' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * used C++ compiler: 'g++ (Spack GCC) 12.2.0' * checking C++ specification ... OK * checking installed package size ... INFO installed size is 59.8Mb sub-directories of 1Mb or more: libs 58.9Mb * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in shell scripts ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2025-05-15 01:17:07 MST" [1] "2025-05-15 01:17:07 MST" Installing package into '/tmp/th798/17245321/R-devel/561/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.99' ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/17245321/R-devel/561/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-05-15 01:17:27 MST" * using log directory '/tmp/th798/17245321/R-devel/561/gpboost.Rcheck' * using R Under development (unstable) (2025-05-13 r88200) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.5.8' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'gpboost' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * used C++ compiler: 'g++ (Spack GCC) 12.2.0' * checking C++ specification ... OK * checking installed package size ... INFO installed size is 59.8Mb sub-directories of 1Mb or more: libs 58.9Mb * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in shell scripts ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2025-05-15 01:30:43 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) > library(data.table, lib.loc=R.home("library")) > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } > WARNING: ignoring environment value of R_HOME R version 4.5.0 (2025-04-11) -- "How About a Twenty-Six" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cargs <- commandArgs(trailingOnly=TRUE) > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "349", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2025-05-15/deps.csv", task.str = "561", release = "/scratch/th798/data.table-revdeps/2025-05-15/data.table_release_1.17.2.tar.gz", master = "/scratch/th798/data.table-revdeps/2025-05-15/data.table_master_1.17.99.15932214095653a70048efdc41545968b38a100a.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/17245321/R-release/561" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache [1] "/tmp/th798/17245321/R-release/561/R.cache" > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (rev.dep <- deps.df$Package[task.id]) [1] "gpboost" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/17245321/R-release/561/library" [2] "/projects/genomic-ml/R/R-release/library" > options(repos=c(#this should be in ~/.Rprofile too. + CRAN="http://cloud.r-project.org")) > print(Sys.time()) [1] "2025-05-15 01:30:50 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/17245321/R-release/561/library' (as 'lib' is unspecified) trying URL 'http://cloud.r-project.org/src/contrib/gpboost_1.5.8.tar.gz' Content type 'application/x-gzip' length 2238199 bytes (2.1 MB) ================================================== downloaded 2.1 MB * installing *source* package 'gpboost' ... ** this is package 'gpboost' version '1.5.8' ** package 'gpboost' successfully unpacked and MD5 sums checked ** using staged installation checking location of R... /home/th798/R/R-release checking whether MM_PREFETCH works... yes checking whether MM_MALLOC works... yes configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/boosting.cpp -o boosting/boosting.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/dart.hpp:16, from boosting/boosting.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt.cpp -o boosting/gbdt.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/gbdt.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt_model_text.cpp -o boosting/gbdt_model_text.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from boosting/gbdt_model_text.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt_prediction.cpp -o boosting/gbdt_prediction.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt_prediction.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/prediction_early_stop.cpp -o boosting/prediction_early_stop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/bin.cpp -o io/bin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/config.cpp -o io/config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/config_auto.cpp -o io/config_auto.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/dataset.cpp -o io/dataset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/dataset_loader.cpp -o io/dataset_loader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/file_io.cpp -o io/file_io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/json11.cpp -o io/json11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/metadata.cpp -o io/metadata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/parser.cpp -o io/parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/train_share_states.cpp -o io/train_share_states.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/tree.cpp -o io/tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c metric/dcg_calculator.cpp -o metric/dcg_calculator.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/dcg_calculator.cpp:5: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c metric/metric.cpp -o metric/metric.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/metric.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c objective/objective_function.cpp -o objective/objective_function.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from objective/objective_function.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/ifaddrs_patch.cpp -o network/ifaddrs_patch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linker_topo.cpp -o network/linker_topo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linkers_mpi.cpp -o network/linkers_mpi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linkers_socket.cpp -o network/linkers_socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/network.cpp -o network/network.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/data_parallel_tree_learner.cpp -o treelearner/data_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/feature_parallel_tree_learner.cpp -o treelearner/feature_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/gpu_tree_learner.cpp -o treelearner/gpu_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/linear_tree_learner.cpp -o treelearner/linear_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/Dense:1, from treelearner/linear_tree_learner.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' treelearner/linear_tree_learner.cpp:349:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Inverse > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Inverse > > >' treelearner/linear_tree_learner.cpp:349:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>' treelearner/linear_tree_learner.cpp:349:63: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/LU/FullPivLU.h:493:28: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/LU/FullPivLU.h:493:44: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:517:47: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >' ./include/Eigen/src/LU/FullPivLU.h:518:35: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:545:15: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:549:15: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:103: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/LU/FullPivLU.h:559:85: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:519:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Inverse > >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/LU/FullPivLU.h:545:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/LU/FullPivLU.h:549:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/LU/FullPivLU.h:853:60: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/Eigen/src/LU/FullPivLU.h:853:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Inverse > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Inverse > >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:768:69: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' ./include/Eigen/src/LU/FullPivLU.h:767:22: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>' ./include/Eigen/src/LU/FullPivLU.h:774:59: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/LU/FullPivLU.h:785:55: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 5]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]' ./include/Eigen/src/LU/FullPivLU.h:772:20: required from 'void Eigen::FullPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/Core/Solve.h:147:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/serial_tree_learner.cpp -o treelearner/serial_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from treelearner/serial_tree_learner.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/tree_learner.cpp -o treelearner/tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/voting_parallel_tree_learner.cpp -o treelearner/voting_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c c_api.cpp -o c_api.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from c_api.cpp:12: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gpboost_R.cpp -o gpboost_R.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c re_model.cpp -o re_model.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from re_model.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:8409:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2328:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2334:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2434:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2434:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2457:105: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2462:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2568:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2580:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2580:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2593:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2593:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2593:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2597:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2597:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2605:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2622:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2622:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2622:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2678:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2681:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2762:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2762:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2812:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2812:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2836:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2836:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2849:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2850:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2850:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2851:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2858:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2860:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2860:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2862:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2863:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2863:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2863:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2863:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2863:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2862:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2862:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2869:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2879:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2884:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2884:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2892:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2895:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2895:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2897:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2941:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2958:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2985:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:3064:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3068:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:3071:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3077:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3080:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:3080:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:3080:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3088:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3088:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3131:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/likelihoods.h:3205:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3206:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3206:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3253:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3275:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3324:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3357:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:3550:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3577:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3577:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3577:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3577:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3584:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3595:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3595:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3636:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3730:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3730:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3895:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3913:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3944:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3944:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3980:131: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3980:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3980:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3980:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3980:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3985:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3988:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3988:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4008:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4021:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4021:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:4030:125: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:4074:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4104:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4125:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4125:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4383:220: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4386:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4408:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4415:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4444:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4456:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4460:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4461:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4462:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4463:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4464:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4464:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:260: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:260: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4472:354: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:183: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4472:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4472:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4472:356: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4485:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4486:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:4503:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4541:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4542:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4555:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4586:81: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4586:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4586:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4602:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4602:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4640:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4640:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4678:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4737:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4760:139: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4760:139: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4760:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4760:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4761:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4762:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4763:69: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4763:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4763:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4763:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4764:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4764:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4777:87: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4777:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4777:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4778:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4793:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4802:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4806:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4813:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4814:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4815:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4816:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4817:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4818:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4818:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4839:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4895:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4898:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4899:57: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4899:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4899:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4899:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:4972:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4995:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5002:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5002:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5003:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5008:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5009:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5010:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5011:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5012:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5030:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5030:94: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5030:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5263:73: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5277:62: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5458:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5458:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5458:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5458:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5461:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5461:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5472:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5490:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5490:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5490:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5675:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5675:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5698:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5699:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5704:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5730:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5731:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6010:126: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6067:135: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6078:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6088:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6096:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6096:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6105:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/GPBoost/likelihoods.h:6105:41: recursively required by substitution of 'template Eigen::internal::traits, 1, -1, false> >::Scalar Eigen::SparseMatrixBase, 1, -1, false> >::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:6105:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6276:24: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6280:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6280:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6344:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6465:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6500:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6500:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6500:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6583:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6632:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:6637:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6637:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:6638:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6677:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6708:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7038:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7644:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:7684:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7684:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:7684:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7850:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:7861:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:7897:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:7897:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:7912:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:7924:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7924:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:7931:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7931:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7940:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:7982:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:8029:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8029:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8038:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:8045:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:8047:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:8087:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:8093:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:8116:103: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:8116:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:8133:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:599:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:678:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:1194:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1230:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1512:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1558:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1800:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1800:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1802:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1803:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1842:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:1842:303: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1855:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1856:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:1866:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:1894:74: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:1894:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3057:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:3730:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3731:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3732:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3752:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3980:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4195:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4195:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4255:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4255:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4255:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4259:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4259:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4259:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:5558:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:5577:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5635:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:5641:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5721:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:6489:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:6968:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7252:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7252:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:7255:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7255:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:7914:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:7914:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:8172:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:8243:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8309:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8372:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8422:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8609:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8610:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8684:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:8775:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:8776:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9042:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:9047:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:9109:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:9109:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:9109:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:9109:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/re_model_template.h:9577:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9661:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9985:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:9985:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:9985:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9985:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:10253:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:10253:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:10363:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10364:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' re_model.cpp:289:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/re_model_template.h:776:17: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2386:58: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/re_model_template.h:2476:127: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/re_model_template.h:2437:79: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/re_model_template.h:2437:87: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:2437:93: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:2935:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/re_model_template.h:3026:74: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:3057:45: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3240:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/re_model_template.h:3292:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' ./include/GPBoost/re_model_template.h:3325:63: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:3240:20: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3240:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:3240:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:3696:54: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:3730:115: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:3731:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:3732:74: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:3734:48: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:3752:42: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3772:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:3772:40: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/re_model_template.h:3780:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:3924:30: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:3980:62: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4004:77: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4007:63: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:3772:61: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3772:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:3772:40: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' ./include/GPBoost/re_model_template.h:3780:80: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >' ./include/GPBoost/re_model_template.h:3780:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3787:33: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/re_model_template.h:3846:61: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4004:77: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4007:42: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4007:63: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:3772:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:3772:40: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/re_model_template.h:3780:69: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:3787:33: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:3824:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4004:77: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:4007:42: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4007:63: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:4195:100: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4213:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4213:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1122:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:4213:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1125:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8237:97: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/re_model_template.h:8243:54: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/re_model_template.h:8246:112: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:8248:100: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:8309:106: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:8346:40: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2261:26: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:2273:65: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:599:108: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:678:105: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1516:53: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1558:54: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:1669:84: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:9206:32: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1155:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:9231:46: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1155:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:9233:34: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1155:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:6968:61: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:7235:50: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1175:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:7252:139: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1175:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:7255:75: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1175:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, 0> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >' ./include/GPBoost/re_model_template.h:9109:59: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/re_model_template.h:8253:60: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1545:116: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1545:129: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1545:116: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1545:129: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/GPBoost/re_model_template.h:7914:140: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:7920:39: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/re_model_template.h:7941:62: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseTriangularView.h:78:54: required from 'struct Eigen::internal::unary_evaluator, 1>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:2356:32: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1308:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2389:90: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:715:12: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/GPBoost/CG_utils.h:728:31: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/GPBoost/CG_utils.h:748:53: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >' ./include/GPBoost/CG_utils.h:783:10: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1308:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2389:90: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:699:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1308:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2389:90: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:3025:26: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseView.h:45:7: required from 'class Eigen::SparseView >' ./include/GPBoost/utils.h:294:22: required from 'void GPBoost::ConvertTo_T_mat_FromDense(den_mat_t, T_mat1&) [with T_mat1 = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3058:41: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6276:22: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 5>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 5>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 5>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 5>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 5>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6280:17: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:6286:75: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2>' ./include/GPBoost/likelihoods.h:6344:56: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >' ./include/GPBoost/likelihoods.h:6464:68: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6467:67: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6470:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:6473:36: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6476:51: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6486:78: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/likelihoods.h:6500:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6501:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6596:86: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:27: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:6644:92: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6645:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:6649:72: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6665:30: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:6677:50: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6773:22: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3503:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6849:82: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3503:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:6946:28: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3503:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:9977:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9977:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:9977:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:9985:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Matrix > >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:10070:97: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10104:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:10104:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >' ./include/GPBoost/re_model_template.h:10188:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:10217:127: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:10217:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:10223:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:10243:100: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:10247:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/re_model_template.h:10305:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10354:74: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:10380:30: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >' ./include/GPBoost/re_model_template.h:9577:75: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:9616:99: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:9661:107: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from 'Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]' ./include/GPBoost/re_model_template.h:3199:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6605:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6689:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:9977:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9977:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:9977:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10104:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:10104:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:10188:103: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >' ./include/GPBoost/re_model_template.h:10188:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/re_model_template.h:10211:86: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:10217:127: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:10217:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:10247:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/re_model_template.h:10305:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:9570:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6605:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6689:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6689:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6689:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6689:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:9977:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:9977:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:9977:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10104:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:10104:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10188:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:10247:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:10305:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9570:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:9571:45: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3699:131: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3699:131: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3737:67: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3780:88: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3793:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, 1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3780:88: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3780:88: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, true> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3793:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, false> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3846:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7108:62: required from 'void GPBoost::Likelihood::CalcVarLaplaceApproxOnlyOneGPCalculationsOnREScale(std::shared_ptr<_Tp>, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3949:83: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:607:75: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3780:88: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3793:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3846:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:4195:20: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:4195:20: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' ./include/GPBoost/re_comp.h:852:22: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:6510:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:310:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6099:51: required from 'void GPBoost::REModelTemplate::InitializeMatricesForOnlyGroupedREsUseWoodburyIdentity() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:351:5: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:582:12: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:582:63: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:582:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/GPBoost/CG_utils.h:593:31: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:606:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:889:45: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>' ./include/GPBoost/re_model_template.h:8372:57: required from 'void GPBoost::REModelTemplate::CalcYtilde(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2239:6: required from 'void GPBoost::REModelTemplate::CalcCovFactorOrModeAndNegLL(const GPBoost::vec_t&, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1009:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:107:103: required from 'double GPBoost::EvalLLforOptimLib(const vec_t&, vec_t*, void*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:629:13: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' ./include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/Ref.h:341:77: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1512:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/re_model_template.h:1751:53: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:1800:80: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1802:124: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1826:49: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1825:130: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/GPBoost/re_model_template.h:1842:160: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1855:107: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1866:116: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/re_model_template.h:1980:105: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/re_model_template.h:1984:114: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:2002:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/re_model_template.h:2006:74: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/re_model_template.h:2025:59: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/re_model_template.h:2033:38: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:5517:40: required from 'void GPBoost::REModelTemplate::CalcPsiInv(T_mat&, GPBoost::data_size_t, bool) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::SingleRange>' ./include/GPBoost/re_model_template.h:5428:11: required from 'void GPBoost::REModelTemplate::GetYAux(GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1557:13: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:5263:47: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:5268:82: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5458:82: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5461:30: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5463:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5485:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5490:195: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5494:110: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5565:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/GPBoost/likelihoods.h:5646:104: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:5663:70: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5697:60: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:5701:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:5703:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:5730:88: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, -1, -1>' ./include/GPBoost/likelihoods.h:4375:60: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4383:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:4386:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4393:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4414:188: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4463:115: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4466:179: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4485:122: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4557:28: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/GPBoost/likelihoods.h:4586:38: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4634:77: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4640:105: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:4645:78: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4649:97: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4678:46: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4763:129: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' ./include/GPBoost/likelihoods.h:4784:54: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' ./include/GPBoost/likelihoods.h:4793:54: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/likelihoods.h:4802:111: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/GPBoost/likelihoods.h:4806:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4818:120: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4817:64: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4895:95: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:4899:104: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4951:37: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4995:117: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:4997:29: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5000:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>' ./include/GPBoost/likelihoods.h:5002:68: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1>' ./include/GPBoost/likelihoods.h:5003:87: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5011:111: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/GPBoost/likelihoods.h:5030:94: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/likelihoods.h:3980:90: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3987:90: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:4030:123: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4052:64: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Block, -1, 1, true>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/GPBoost/likelihoods.h:4074:37: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4108:40: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:4125:118: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3726:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3755:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3766:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/GPBoost/re_model_template.h:4255:168: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7712:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1092:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/GPBoost/re_model_template.h:4259:97: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7712:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1092:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:4262:33: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7712:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1092:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1105:37: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:8609:107: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:8610:136: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:8616:72: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:8682:91: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/re_model_template.h:8781:80: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8927:74: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8516:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/re_model_template.h:9042:73: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8516:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/re_model_template.h:9047:73: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8516:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1194:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1195:100: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1230:92: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:5590:40: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/re_model_template.h:5641:59: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/re_model_template.h:5644:117: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:5646:91: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:582:12: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:582:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:606:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:1826:49: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1825:130: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:5509:25: required from 'void GPBoost::REModelTemplate::CalcPsiInv(T_mat&, GPBoost::data_size_t, bool) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:3726:86: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3726:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3755:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3755:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3766:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:582:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:606:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:1825:130: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:5558:39: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:3726:86: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3726:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3755:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3766:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:8936:43: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8516:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:8172:109: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:7941:48: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:7941:48: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:7941:48: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/GPBoost/likelihoods.h:3275:35: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3311:41: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3314:61: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:3357:85: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0> >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0> >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0> >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2798:53: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2851:54: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2860:49: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/GPBoost/likelihoods.h:2862:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:2883:47: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:2985:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>' ./include/GPBoost/likelihoods.h:3064:61: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:3077:69: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3088:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3550:41: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7847:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:3595:52: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7847:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:3636:93: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7847:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2453:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7853:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:2457:67: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7853:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2678:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:7857:93: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2330:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2339:20: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:5446:63: required from 'void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:7921:18: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:699:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2330:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:703:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2339:20: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:703:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2330:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:713:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2339:20: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:713:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/cov_fcts.h:528:17: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1229:53: required from 'void GPBoost::RECompGP::CalcSigma() [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3062:48: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/likelihoods.h:6946:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3503:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:10305:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:7037:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10454:53: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:5968:69: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9832:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:6027:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9832:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6067:118: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9832:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6096:111: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9832:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:500:38: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:9401:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9811:66: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6187:76: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:5838:37: required from 'void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9846:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6187:76: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/likelihoods.h:5838:37: required from 'void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9846:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:3786:71: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1067:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:3786:71: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1076:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >' ./include/GPBoost/cov_fcts.h:988:38: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1216:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4098:81: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1138:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_comp.h:1648:56: required from 'bool GPBoost::RECompGP::HasDuplicatedCoords() const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6513:34: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:310:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' ./include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ./include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ./include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:214:42: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1107:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4321:32: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1006:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:28: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1107:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4321:32: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1006:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:216:70: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1107:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4321:32: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1006:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:230:43: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1107:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4321:32: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1006:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' ./include/LBFGSpp/BFGSMat.h:173:41: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:148:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' ./include/LBFGSpp/BFGSMat.h:119:56: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' ./include/LBFGSpp/BFGSMat.h:119:59: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/Ref.h:341:77: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1522:95: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1523:54: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1359:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1765:103: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1359:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1765:103: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_comp.h:1359:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:1812:98: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1359:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:1812:98: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:7829:33: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/GPBoost/likelihoods.h:7859:49: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:7897:104: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:7912:114: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7924:115: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7931:83: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:5269:26: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 1>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:7982:124: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:7987:106: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:8047:84: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:8048:89: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:8116:103: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5361:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:8135:90: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5361:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:5432:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>' ./include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4898:170: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7010:42: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1086:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6952:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6976:78: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/sparse_matrix_utils.h:416:29: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:1740:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_comp.h:1359:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:1812:98: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1359:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:1812:98: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1965:86: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/GPBoost/CG_utils.h:793:34: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/GPBoost/likelihoods.h:7684:72: required from 'void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3478:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:7725:77: required from 'void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3478:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/likelihoods.h:7748:63: required from 'void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3478:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:7766:66: required from 'void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3478:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2330:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2330:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7862:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:703:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:371:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6637:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6637:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6638:83: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6638:83: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6639:49: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6639:49: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6708:142: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6708:142: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9941:64: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:10185:74: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:10185:74: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10231:70: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10232:39: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10253:89: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7060:53: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10454:53: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/re_comp.h:503:17: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:9401:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/re_comp.h:503:17: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:9401:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Visitor.h:302:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:889:45: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:892:75: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:1740:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:1740:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1772:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1773:66: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1804:113: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1805:157: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1807:73: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1899:94: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1900:91: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4000:81: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1194:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:1740:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1884:94: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2362:70: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:509:39: required from 'void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7827:40: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:519:52: required from 'void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7827:40: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3206:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3342:96: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' ./include/Eigen/src/Cholesky/LLT.h:339:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:339:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' ./include/Eigen/src/Cholesky/LLT.h:339:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/GP_utils.h:435:35: required from 'void GPBoost::SubtractProdFromNonSqMat(T_mat&, const den_mat_t&, const den_mat_t&) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9927:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ./include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/LBFGSpp/BFGSMat.h:172:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:148:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/LBFGSpp/BKLDLT.h:333:83: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/LBFGSpp/BKLDLT.h:362:33: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/LBFGSpp/BKLDLT.h:362:39: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/LBFGSpp/BKLDLT.h:368:92: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/LBFGSpp/BKLDLT.h:368:103: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1512:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1512:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1540:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1540:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6952:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1546:59: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' ./include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 1; bool Transposed = false]' ./include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; int ProductTag = 8; MatrixShape = Eigen::SparseShape]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:5446:23: required from 'void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:7921:18: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:699:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:335:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:6708:93: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:3846:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:1691:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:157:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:841:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:6510:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:310:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2030:105: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4496:127: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4602:115: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4219:68: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1635:106: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1105:37: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1194:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1195:100: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1230:92: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3342:96: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:991:130: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1216:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4098:81: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1138:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::InnerStride<1> >' ./include/Eigen/src/Core/CoreEvaluators.h:884:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' ./include/LBFGSpp/BFGSMat.h:93:32: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1522:95: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:8133:114: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5361:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7010:42: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1086:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6952:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6976:78: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1169:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1965:86: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1531:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7644:57: required from 'void GPBoost::Likelihood::CalcLogDetStochFSVA(const GPBoost::data_size_t&, const int&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const std::vector > > >&, const GPBoost::vec_t&, const GPBoost::chol_den_mat_t&, const GPBoost::vec_t&, bool&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3102:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:335:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 1>, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 1>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6644:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6644:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10232:39: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/Eigen/src/SparseCore/SparseAssign.h:200:35: required from 'static typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type Eigen::internal::assignment_from_dense_op_sparse::run(DstXprType&, const Eigen::CwiseBinaryOp, const Lhs, const Rhs>&, const Eigen::internal::assign_op&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 2>; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double; DstXprType = Eigen::Matrix; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type = void; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:4213:27: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1125:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:1691:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:157:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:841:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:6510:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:310:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:104:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1772:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1773:66: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1805:157: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1807:73: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1899:94: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1900:91: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/likelihoods.h:5458:76: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4906:135: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:188:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:194:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4000:81: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:8631:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1884:94: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:754:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3206:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/GP_utils.h:435:35: required from 'void GPBoost::SubtractProdFromNonSqMat(T_mat&, const den_mat_t&, const den_mat_t&) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9927:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:997:17: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1216:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4098:81: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1138:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8258:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/LBFGSpp/BFGSMat.h:172:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:148:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' ./include/LBFGSpp/BKLDLT.h:362:28: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1512:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1540:39: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:340:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:340:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6498:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9645:14: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5697:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5701:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::SparseMatrix; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Matrix]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3787:17: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8258:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8261:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7843:12: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5675:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4906:135: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:8631:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:754:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2935:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6498:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10344:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9645:14: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9645:14: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2273:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1> >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5697:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5698:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5701:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4405:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::assign_op, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4405:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3755:21: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3240:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:10247:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:3827:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4007:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8258:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from 'static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7843:12: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4906:135: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:8631:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8510:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:754:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/GPBoost/CG_utils.h:793:34: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/CG_utils.h:718:14: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:709:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2935:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Transpose >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6286:15: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6498:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10223:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10243:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2273:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7993:141: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5272:9: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:774:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5675:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5697:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5698:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5699:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5701:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:1669:65: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3755:21: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3055:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6592:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6596:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6644:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:188:46: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:194:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3240:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:10247:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9571:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:3827:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4007:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4007:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:800:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8243:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:8258:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1765:103: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7843:12: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, true> >; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:4503:44: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/CG_utils.h:741:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2935:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3057:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6294:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6649:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10415:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10344:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2273:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:933:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1841:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5698:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5701:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5023:18: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4125:12: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1629:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8846:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:5635:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5641:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9132:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1416:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3755:21: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1641:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:2879:18: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:7838:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:10247:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9645:14: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6187:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9838:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3539:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:3827:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4007:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4224:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1119:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:253:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:654:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1045:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Transpose >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7843:12: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4898:170: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:8457:64: required from 'void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:2332:4: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2385:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:582:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Transpose >, 1> >; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5698:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5699:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:1669:65: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8774:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8513:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1163:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3324:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:7829:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2616:14: required from 'void GPBoost::REModelTemplate::EvalLaplaceApproxNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:693:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4004:22: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1085:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1558:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5679:17: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1612:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3240:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1854:18: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4383:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4466:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:5558:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1535:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:8172:22: required from 'void GPBoost::REModelTemplate::CalcCovFactorFITC_FSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:7888:6: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2329:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:593:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7829:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5216:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1604:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:582:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1825:28: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:393:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:593:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:1842:44: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1528:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:593:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8290:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:831:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5008:14: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' ./include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' ./include/Eigen/src/LU/InverseImpl.h:311:60: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1545:77: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:412:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:748:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2403:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:689:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10217:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/LU/PartialPivLU.h:528:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': ./include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/Ref.h:300:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' ./include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' ./include/Eigen/src/LU/PartialPivLU.h:514:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' ./include/Eigen/src/LU/PartialPivLU.h:538:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/Eigen/src/LU/PartialPivLU.h:582:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6500:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3468:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' ./include/Eigen/src/Core/Visitor.h:302:14: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' ./include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5030:51: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9985:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:973:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:993:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9977:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3535:8: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1013:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' ./include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 42 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4760:41: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1619:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1084:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9109:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1402:6: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:374:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse_matrix_utils.cpp -o sparse_matrix_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/sparse_matrix_utils.h:12, from sparse_matrix_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' ./include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' ./include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' sparse_matrix_utils.cpp:306:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > > >' ./include/Eigen/src/SparseCore/SparseMap.h:282:8: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map >; _Scalar = double; int _Options = 0; _StorageIndex = int]' sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' sparse_matrix_utils.cpp:289:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GP_utils.cpp -o GP_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/GP_utils.h:12, from GP_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' GP_utils.cpp:73:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' GP_utils.cpp:76:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:93:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' GP_utils.cpp:159:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' GP_utils.cpp:159:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:172:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:172:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' GP_utils.cpp:232:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:232:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:232:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' GP_utils.cpp:236:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:282:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:27:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' GP_utils.cpp:73:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' GP_utils.cpp:73:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from 'Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]' GP_utils.cpp:68:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' GP_utils.cpp:89:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, 1, -1, false>]' GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:319:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:93:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:159:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/AssignEvaluator.h:873:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' GP_utils.cpp:229:18: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:236:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:282:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:296:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' GP_utils.cpp:108:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:240:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:76:21: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:232:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:172:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:232:78: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:172:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DF_utils.cpp -o DF_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Vecchia_utils.cpp -o Vecchia_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/Vecchia_utils.h:12, from Vecchia_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' Vecchia_utils.cpp:38:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' Vecchia_utils.cpp:44:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' Vecchia_utils.cpp:322:18: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' Vecchia_utils.cpp:325:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' Vecchia_utils.cpp:325:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' Vecchia_utils.cpp:422:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' Vecchia_utils.cpp:452:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' Vecchia_utils.cpp:453:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/TriangularMatrix.h:175:44: required from 'struct Eigen::internal::traits >, 9> >' ./include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase >, 9> >' ./include/Eigen/src/Core/TriangularMatrix.h:27:34: required from 'class Eigen::TriangularBase >, 9> >' ./include/Eigen/src/Core/TriangularMatrix.h:345:58: required from 'class Eigen::TriangularViewImpl >, 9, Eigen::Dense>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 9>' Vecchia_utils.cpp:589:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' Vecchia_utils.cpp:930:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' Vecchia_utils.cpp:940:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' Vecchia_utils.cpp:1044:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' Vecchia_utils.cpp:1044:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:1161:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:1161:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1191:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1191:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1196:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' Vecchia_utils.cpp:1245:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' Vecchia_utils.cpp:1253:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1258:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' Vecchia_utils.cpp:1278:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' Vecchia_utils.cpp:1278:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:1327:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:1327:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' Vecchia_utils.cpp:1339:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Matrix > >' Vecchia_utils.cpp:1339:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1348:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Transpose > > >' Vecchia_utils.cpp:1348:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1>, Eigen::Transpose > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >' Vecchia_utils.cpp:1348:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1369:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1369:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1370:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' Vecchia_utils.cpp:1486:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::internal::AllRange<-1>, std::vector, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >' Vecchia_utils.cpp:1615:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' Vecchia_utils.cpp:1627:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' Vecchia_utils.cpp:1643:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' Vecchia_utils.cpp:1643:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' Vecchia_utils.cpp:1668:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1673:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:1673:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' Vecchia_utils.cpp:1673:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' Vecchia_utils.cpp:1673:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' Vecchia_utils.cpp:1674:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1674:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' Vecchia_utils.cpp:1674:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>' Vecchia_utils.cpp:1674:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' Vecchia_utils.cpp:1683:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' Vecchia_utils.cpp:1683:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' Vecchia_utils.cpp:1708:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' Vecchia_utils.cpp:1710:58: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' Vecchia_utils.cpp:1716:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' Vecchia_utils.cpp:1734:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1734:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' Vecchia_utils.cpp:1740:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' Vecchia_utils.cpp:1740:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' Vecchia_utils.cpp:1740:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' Vecchia_utils.cpp:1740:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' Vecchia_utils.cpp:1741:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' Vecchia_utils.cpp:1748:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' Vecchia_utils.cpp:1748:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' Vecchia_utils.cpp:1976:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:1976:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >' Vecchia_utils.cpp:1976:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1979:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' Vecchia_utils.cpp:1979:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>' Vecchia_utils.cpp:1979:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' Vecchia_utils.cpp:1980:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' Vecchia_utils.cpp:1980:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:1986:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' Vecchia_utils.cpp:1992:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' Vecchia_utils.cpp:2136:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' Vecchia_utils.cpp:2141:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' Vecchia_utils.cpp:2149:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2149:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' Vecchia_utils.cpp:2149:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2150:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 2>' Vecchia_utils.cpp:2152:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product >, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 2>, 2>' Vecchia_utils.cpp:2152:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> >' Vecchia_utils.cpp:2156:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' Vecchia_utils.cpp:2182:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' Vecchia_utils.cpp:2184:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:2185:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>' Vecchia_utils.cpp:2185:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>' Vecchia_utils.cpp:2185:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>' Vecchia_utils.cpp:2185:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:859:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1159:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:1359:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:1359:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1359:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:1359:86: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1359:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_comp.h:1362:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1379:33: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1379:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]' Vecchia_utils.cpp:1327:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]' Vecchia_utils.cpp:1327:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1547:47: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1553:39: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' Vecchia_utils.cpp:1668:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1707:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:88:32: required from 'struct Eigen::internal::sparse_diagonal_product_evaluator, Eigen::Transpose >, 0>' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1708:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1708:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1708:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1716:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1992:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1992:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:33:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/GPBoost/re_comp.h:1426:18: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:47:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:325:73: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:675:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:214:42: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1116:35: required from 'void GPBoost::RECompGP::GetScaledCoordinates(GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1080:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:216:70: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1116:35: required from 'void GPBoost::RECompGP::GetScaledCoordinates(GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1080:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:230:43: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1116:35: required from 'void GPBoost::RECompGP::GetScaledCoordinates(GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1080:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1238:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1252:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1253:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1256:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1257:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1369:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from 'Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]' Vecchia_utils.cpp:1580:14: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1643:64: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1740:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1740:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1741:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1741:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1742:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1742:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' Vecchia_utils.cpp:2148:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' Vecchia_utils.cpp:2148:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2169:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1157:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:44:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:325:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:998:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1643:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1740:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:1931:125: required from 'double GPBoost::CovFunction::GradientRangeMaternSpaceTimeShape0_5(double, double, const T_mat&, int, int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1691:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:157:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:841:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:951:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]' Vecchia_utils.cpp:1278:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:371:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]' Vecchia_utils.cpp:1627:116: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from 'void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:678:15: required from 'void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:215:7: required from 'void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:381:36: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' Vecchia_utils.cpp:1978:19: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:33:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:452:20: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:452:20: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1238:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1252:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1253:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1256:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1257:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1369:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, true>]' Vecchia_utils.cpp:1486:73: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2169:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:185:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:1931:125: required from 'double GPBoost::CovFunction::GradientRangeMaternSpaceTimeShape0_5(double, double, const T_mat&, int, int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1691:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:157:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:841:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:951:126: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1707:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1707:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:104:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>]' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:135:7: required from 'Eigen::internal::binary_evaluator, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/Core/CoreEvaluators.h:728:52: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1976:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1678:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2165:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Func = generic_product_impl, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' ./include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1044:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::AllRange<-1>, std::vector >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]' ./include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:104:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>]' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:135:7: required from 'Eigen::internal::binary_evaluator, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/Core/CoreEvaluators.h:728:52: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1976:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1344:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, Eigen::internal::AllRange<-1>, std::vector > >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1678:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Transpose >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Transpose > >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Transpose > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1692:121: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1547:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1678:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1553:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1553:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1615:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1338:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1616:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1685:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2183:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1379:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1194:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1553:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1476:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1356:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1348:89: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1673:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >' ./include/GPBoost/cov_fcts.h:988:38: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1216:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1209:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c CG_utils.cpp -o CG_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/CG_utils.h:12, from CG_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:63:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:293:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:216:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:991:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:1931:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1931:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:745:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:490:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:572:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:582:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:593:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:593:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:593:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:609:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:610:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:612:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:715:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:715:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:728:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:728:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:728:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:748:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:748:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:748:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:748:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:748:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:750:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:754:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' CG_utils.cpp:36:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' CG_utils.cpp:57:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:57:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' CG_utils.cpp:57:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:57:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' CG_utils.cpp:57:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' CG_utils.cpp:62:29: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' CG_utils.cpp:62:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' CG_utils.cpp:62:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' CG_utils.cpp:63:64: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' CG_utils.cpp:63:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' CG_utils.cpp:67:84: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' CG_utils.cpp:67:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' CG_utils.cpp:117:16: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' CG_utils.cpp:155:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:170:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' CG_utils.cpp:170:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' CG_utils.cpp:175:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' CG_utils.cpp:178:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' CG_utils.cpp:266:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:267:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' CG_utils.cpp:267:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >' CG_utils.cpp:267:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' CG_utils.cpp:267:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' CG_utils.cpp:271:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' CG_utils.cpp:271:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >' CG_utils.cpp:284:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:368:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' CG_utils.cpp:368:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>' CG_utils.cpp:368:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' CG_utils.cpp:368:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' CG_utils.cpp:368:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>' CG_utils.cpp:373:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>' CG_utils.cpp:373:262: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' CG_utils.cpp:373:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>' CG_utils.cpp:373:264: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>' CG_utils.cpp:373:265: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' CG_utils.cpp:374:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >' CG_utils.cpp:374:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' CG_utils.cpp:374:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' CG_utils.cpp:474:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' CG_utils.cpp:474:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:478:202: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' CG_utils.cpp:478:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' CG_utils.cpp:478:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:494:158: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' CG_utils.cpp:494:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:498:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:498:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >' CG_utils.cpp:498:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >' CG_utils.cpp:542:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' CG_utils.cpp:605:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:609:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' CG_utils.cpp:611:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' CG_utils.cpp:611:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:614:210: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' CG_utils.cpp:614:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' CG_utils.cpp:616:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:619:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:635:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' CG_utils.cpp:639:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' CG_utils.cpp:639:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' CG_utils.cpp:639:193: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>' CG_utils.cpp:639:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' CG_utils.cpp:639:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:858:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:866:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' CG_utils.cpp:883:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' CG_utils.cpp:992:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, -1, -1>' CG_utils.cpp:1013:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Replicate, -1, -1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >' CG_utils.cpp:1013:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' CG_utils.cpp:1108:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' CG_utils.cpp:1108:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from 'class Eigen::SelfAdjointEigenSolver >' CG_utils.cpp:1239:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from 'class Eigen::SelfAdjointEigenSolver >' CG_utils.cpp:1239:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' CG_utils.cpp:1246:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> > >' CG_utils.cpp:1246:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' CG_utils.cpp:1246:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' CG_utils.cpp:1246:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' CG_utils.cpp:1246:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >' CG_utils.cpp:1246:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' CG_utils.cpp:1258:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' CG_utils.cpp:1258:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >' CG_utils.cpp:1270:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >' CG_utils.cpp:1270:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' CG_utils.cpp:1272:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' CG_utils.cpp:1272:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' CG_utils.cpp:1274:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' CG_utils.cpp:1274:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' CG_utils.cpp:1307:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' CG_utils.cpp:1388:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' CG_utils.cpp:1806:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:80:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from 'Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]' CG_utils.cpp:1291:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1307:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1307:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseTriangularView.h:78:54: required from 'struct Eigen::internal::unary_evaluator, 1>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Options = 1; _StorageIndex = int]' CG_utils.cpp:1799:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, 1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1806:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1806:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' CG_utils.cpp:45:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:87:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' CG_utils.cpp:462:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' CG_utils.cpp:553:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:543:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:869:57: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:44:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:80:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:80:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' ./include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from 'Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:467:24: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' ./include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/Visitor.h:255:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:543:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1247:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1260:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ./include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' ./include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:1245:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1258:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:87:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/ProductEvaluators.h:834:73: required from 'struct Eigen::internal::diagonal_product_evaluator_base, -1, 1, true>, const Eigen::Matrix, Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:902:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::Block, -1, 1, true>, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 1>; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:474:60: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:508:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 1, -1, false> > > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1246:145: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:80:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:508:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1272:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1272:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1272:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:508:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' CG_utils.cpp:553:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1272:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:176:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:178:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, 1, true>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Block, -1, 1, true>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:995:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:178:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:993:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:998:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:178:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:271:183: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Product >, Eigen::Matrix, 0>; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:611:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:502:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:284:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:498:140: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:478:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:373:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_spsolve.c -o cs_spsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_reach.c -o cs_reach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dfs.c -o cs_dfs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gpboost.so boosting/boosting.o boosting/gbdt.o boosting/gbdt_model_text.o boosting/gbdt_prediction.o boosting/prediction_early_stop.o io/bin.o io/config.o io/config_auto.o io/dataset.o io/dataset_loader.o io/file_io.o io/json11.o io/metadata.o io/parser.o io/train_share_states.o io/tree.o metric/dcg_calculator.o metric/metric.o objective/objective_function.o network/ifaddrs_patch.o network/linker_topo.o network/linkers_mpi.o network/linkers_socket.o network/network.o treelearner/data_parallel_tree_learner.o treelearner/feature_parallel_tree_learner.o treelearner/gpu_tree_learner.o treelearner/linear_tree_learner.o treelearner/serial_tree_learner.o treelearner/tree_learner.o treelearner/voting_parallel_tree_learner.o c_api.o gpboost_R.o re_model.o sparse_matrix_utils.o GP_utils.o DF_utils.o Vecchia_utils.o CG_utils.o cs_spsolve.o cs_reach.o cs_dfs.o -fopenmp -pthread installing to /tmp/th798/17245321/R-release/561/library/00LOCK-gpboost/00new/gpboost/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gpboost) The downloaded source packages are in '/tmp/th798/17245321/RtmpeRQkjU/downloaded_packages' > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 555.047 15.369 612.559 > print(Sys.time()) [1] "2025-05-15 01:41:02 MST" > downloaded_packages <- file.path( + tempdir(), + "downloaded_packages") > dl.glob <- file.path( + downloaded_packages, + paste0(rev.dep,"_*.tar.gz")) > rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob)) > colnames(rev.dep.dl.row) <- c("pkg","path") > rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE) > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2025-05-15 01:41:03 MST" Installing package into '/tmp/th798/17245321/R-release/561/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.2' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/17245321/R-release/561/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-05-15 01:41:32 MST" * using log directory '/tmp/th798/17245321/R-release/561/gpboost.Rcheck' * using R version 4.5.0 (2025-04-11) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.5.8' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'gpboost' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * used C++ compiler: 'g++ (Spack GCC) 12.2.0' * checking C++ specification ... OK * checking installed package size ... INFO installed size is 59.8Mb sub-directories of 1Mb or more: libs 58.9Mb * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in shell scripts ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2025-05-15 01:55:24 MST" [1] "2025-05-15 01:55:24 MST" Installing package into '/tmp/th798/17245321/R-release/561/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.99' ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/17245321/R-release/561/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-05-15 01:55:53 MST" * using log directory '/tmp/th798/17245321/R-release/561/gpboost.Rcheck' * using R version 4.5.0 (2025-04-11) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.5.8' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'gpboost' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * used C++ compiler: 'g++ (Spack GCC) 12.2.0' * checking C++ specification ... OK * checking installed package size ... INFO installed size is 59.8Mb sub-directories of 1Mb or more: libs 58.9Mb * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in shell scripts ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2025-05-15 02:09:49 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) > library(data.table, lib.loc=R.home("library")) > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } >